At a Glance
- Tasks: Lead the data strategy for Trade and Working Capital Solutions, driving innovation and collaboration.
- Company: Join a global leader in financial services with a dynamic and inclusive culture.
- Benefits: Enjoy competitive salary, generous holidays, private medical insurance, and professional development opportunities.
- Other info: Be part of a team that values diversity and offers excellent career growth.
- Why this job: Make a real impact in a high-growth business while shaping the future of data management.
- Qualifications: Proven experience in data strategy and leadership within financial services is essential.
The predicted salary is between 80000 - 100000 £ per year.
Trade and Working Capital Solutions (TWCS) within the Services organization is a dynamic, high‑growth global business offering working capital solutions across Banking, Capital Markets, Mergers and Acquisitions, and Citi Commercial Bank client segments in over 100 countries. As a critical component of the TWCS Business Execution team, the Data Organization is responsible for establishing and implementing the overall data strategy and governance framework, ensuring high‑quality data to drive business value. This Director‑level role is senior and global, responsible for defining and executing the data strategy and roadmap in alignment with various Lines of Business (LOBs) that act as domain owners for their respective products.
The role is pivotal in delivering the Technology Book of Work assigned to Data Strategy, leading Data ART (Agile Release Train) scrum teams as the Trade product representative alongside Technology and Operations, and ensuring the achievement of Data OKRs as defined by technology investments.
Responsibilities
- Lead the definition and execution of the Trade Data Strategy and roadmap, ensuring alignment with LOB product visions, design, channel alignment, and on‑premise and cloud data strategy for the business and overall product experience.
- Manage a team of data managers responsible for delivering the Technology Book of Work specifically assigned to Data Strategy initiatives.
- Act as the Trade product representative within Data ART scrum teams, collaborating with Technology and Operations to ensure the successful achievement of Data Objectives and Key Results (OKRs) defined by technology investments.
- Work in partnership with the Data Governance team to implement robust data governance models, data quality, and data management frameworks across TWCS to ensure data integrity, security, curation, and conformity of data to Citi standards and policies, and accessibility.
- Collaborate with Data Engineering teams to define requirements for data architecture, infrastructure, connectivity to internal and external data sources, and tools that support the overall data strategy.
- Identify opportunities to leverage data for business growth, operational efficiency, and enhanced client experience within the Trade business.
- Stay abreast of emerging data technologies, industry trends, and regulatory developments related to data management and analytics in the financial services sector, incorporating relevant insights into the TWCS data strategy.
- Establish and monitor key performance indicators (KPIs) and metrics to measure the success and impact of data initiatives, regularly reporting progress to senior management and stakeholders.
- Lead the creation of TWCS external data services (e.g., online reporting, cash‑flow analytics services, asset and data marketplaces, billing information), the self‑serve data consumption strategy and plan.
- Drive data‑driven decision‑making processes by providing insights and recommendations based on comprehensive data analysis.
- Foster strong partnerships with stakeholders across Business, Technology, Operations and lead the TWCS engagement with TTS PDS team on all data initiatives to ensure a unified approach to data strategy and management.
- Produce internal MI dashboards to support improved decision making (across product operating model, profitability/unit cost, client returns, capital/RWA distribution, origination, operations metrics, resource allocation, client service, etc).
- Drive data analytics insights: the use of data to drive business actions and growth (examples: client origination, client cross‑sell, multi‑product, multi‑region, resource allocation, etc).
- Familiarity with risk analytics associated with the real‑time risk management of a wholesale credit‑lending business and the risk management thereof.
Qualifications
- Significant experience in data strategy, data management, or related consulting roles within financial services, with a number of years in a leadership capacity.
- Data Strategy & Governance Mastery:
- Proven ability to architect and articulate a clear data strategy that directly supports business objectives, encompassing data acquisition, storage, processing, and consumption, and defining investment plans and road‑maps for data initiatives.
- Deep expertise in establishing and enforcing robust data governance policies, standards, and procedures (e.g., data ownership, data stewardship, metadata management, data lineage) to ensure data quality, compliance, and trustworthiness.
- Proficiency in implementing methodologies and tools for data profiling, cleansing, validation, and continuous monitoring to ensure high data accuracy and reliability.
- In‑depth understanding of data‑related regulations and compliance requirements within the financial industry (e.g., GDPR, CCPA, BCBS 239, data privacy laws) and translating regulatory needs into actionable data policies.
- Strong conceptual grasp of data architecture principles (e.g., data warehousing, data lakes, data meshes), data modelling techniques, and database technologies.
- Leadership, Management & Communication:
- Visionary leadership to drive complex data initiatives, inspire teams, and foster a data‑driven culture across the organization.
- Proven ability to build, lead, mentor, and develop high‑performing data management teams, including data managers and specialists.
- Exceptional skills in collaborating with diverse stakeholders (Business Heads, Technology, Operations, Legal, Risk, Compliance) to align on data strategies, secure buy‑in, and drive adoption.
- Ability to communicate complex data concepts, strategies, and insights clearly and concisely to senior management and non‑technical audiences, influencing decision‑making.
- Expertise in leading organizational change related to data adoption, new data processes, and cultural shifts towards a data‑centric approach.
- Financial Services & Trade Domain Expertise:
- In‑depth understanding of trade finance products, services, processes, and the associated data landscape, including international trade regulations and market dynamics.
- Familiarity with financial markets, trading instruments, and market dynamics to identify trends and opportunities.
- Ability to understand business processes deeply and identify how data can be leveraged to optimize operations, improve client experience, and drive revenue growth.
- Analytical & Technical Aptitude (Strategic):
- Strong analytical mindset to interpret complex data, identify patterns, extract insights, and make data‑driven recommendations.
- Proficiency in defining, tracking, and reporting on key performance indicators and metrics to measure the success and impact of data initiatives.
- Familiarity with data visualization tools (e.g., Tableau, Power BI), business intelligence platforms, and data management systems.
- Experience with Agile frameworks (e.g., Scrum, SAFe) for managing data‑related projects and programs, ensuring timely delivery and adaptation to evolving requirements.
- Ability to dissect complex data challenges, identify root causes, and devise innovative and practical solutions.
- Capability to develop long‑term plans that align data initiatives with overall business strategy, anticipating future needs and market shifts.
- Educational Background:
- Bachelor's degree or university degree in Computer Science, Data Science, Business Administration, Finance, or a related quantitative field (Master’s degree preferred).
Benefits
- Competitive base salary (annually reviewed).
- Generous holiday allowance starting at 27 days plus bank holidays, increasing with tenure.
- Discretionary annual performance‑related bonus.
- Private medical insurance packages to suit personal circumstances.
- Employee Assistance Program.
- Pension plan.
- Paid parental leave.
- Special discounts for employees, family, and friends.
- Access to an array of learning and development resources.
Equal Employment Opportunity
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi.
Director, Trade Data Stategy and Management Lead - Services in London employer: Citi
Citi is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Trade and Working Capital Solutions team. Employees benefit from a competitive salary, generous holiday allowance, and extensive learning opportunities, all while being part of a global organisation that values diversity and inclusion. With a strong focus on employee growth and a commitment to data-driven decision-making, Citi provides a meaningful and rewarding career path for those looking to make an impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Director, Trade Data Stategy and Management Lead - Services in London
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We think you need these skills to ace Director, Trade Data Stategy and Management Lead - Services in London
Some tips for your application 🫡
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How to prepare for a job interview at Citi
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Citi.
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